"Supporting a camera centric approach for autonomous driving is essential as the camera provides the richest source of information at the lowest cost package. To reach affordable high-end functionality for autonomous driving requires a computing infrastructure capable of processing many cameras simultaneously while extracting from each camera high-level meaning such as location of multiple types of objects, lanes and drivable path information," said Amnon Shashua, cofounder, CTO and Chairman of Mobileye. "The EyeQ4 continues a legacy that began in 2004 with EyeQ1 where we leveraged deep understanding of computer vision processing to come up with highly optimized architectures to support extremely intensive computations at automotive compliant power consumption of 2-3 Watts."
The EyeQ4 provides "super-computer" capabilities of more than 2.5 teraflops within a low-power (approximately 3W) automotive grade system-on-chip.
EyeQ4-based ADAS uses computer vision algorithms like Deep Layered Networks and Graphical Models while processing information from 8 cameras simultaneously at 36fps. The EyeQ4 will accept multiple camera inputs from a trifocal front-sensing camera configuration, surround-view-systems of four wide field of view cameras, a long range rear-facing camera and information from multiple radars and scanning beam lasers scanners. Taken together, the EyeQ4 will be processing a safety "cocoon" around the vehicle – essential for autonomous driving.
Engineering samples of EyeQ4 are expected to be available by Q4 2015. First test hardware with the full suite of applications including active safety suite of customer functions, environmental modeling (for each of the 8 cameras), path planning for hands-free driving and fusion with sensors, is expected to be available in Q2 2016.
Thanks to MM for the link!
